HARAHAP, ALI MACHSUM (2014) PREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN PERBANKAN DEVISA DENGAN MENGGUNAKAN ANALISIS RISK, GOOD CORPORATE GOVERNANCE, EARNING DAN CAPITAL. Undergraduate thesis, STIE PERBANAS SURABAYA.
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Abstract
Bank's main role is to channel funds from the surplus funds to those who lack the hope to benefit from this activity, but this activity will be problematic for the lack of funds when the bank is unable to repay the funds that have been borrowed. This study aimed to test whether the ratio of non-performing loans (NPL), Loan to Deposit Ratio (LDR), Good Corporate Governance (GCG), Return on Assets (ROA), net interest margin (NIM) and the Capital Adequacy Ratio (CAR) can be used to predict financial distress of the Foreign Exchange Bank for 2009-2012. The initial sample in this study were 35 foreign exchange banks, after the selection of only the remaining 16 foreign exchange banks. The sampling technique used was purposive sampling and data used in this study is a secondary data by looking at the financial statements and the related statements of GCG Bank. Test equipment used to test the hypothesis is to use logistic regression. These results indicate that the NPL ratio, LDR, GCG, ROA, NIM, CAR which can be used to predict financial distress on foreign exchange banks are ROA and NIM with a significance value below 0.05 (5%) while the NPL ratio, LDR , GCG and CAR can not be used to predict financial distress due to foreign exchange banks significance value above 0.05 (5%). Keywords : Bank foreign exchange, bank financial ratios, financial distress, logistic regression
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Subjects: | 600 - TECHNOLOGY > 650 - 659 MANAGEMENT & PUBLIC RELATIONS > 658 - GENERAL MANAGEMENT > 658.151 1 - MANAGEMENT ACCOUNTING |
| Divisions: | Bachelor of Accountancy |
| Depositing User: | Perpustakaan Universitas Hayam Wuruk Perbanas |
| Date Deposited: | 11 Jul 2017 02:55 |
| Last Modified: | 12 Feb 2018 05:45 |
| URI: | http://eprints.perbanas.ac.id/id/eprint/1942 |
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